pipelines/backend/api/python_http_client/docs/RunServiceApi.md

27 KiB

kfp_server_api.RunServiceApi

All URIs are relative to http://localhost

Method HTTP request Description
archive_run POST /apis/v1beta1/runs/{id}:archive Archives a run.
create_run POST /apis/v1beta1/runs Creates a new run.
delete_run DELETE /apis/v1beta1/runs/{id} Deletes a run.
get_run GET /apis/v1beta1/runs/{run_id} Finds a specific run by ID.
list_runs GET /apis/v1beta1/runs Finds all runs.
read_artifact GET /apis/v1beta1/runs/{run_id}/nodes/{node_id}/artifacts/{artifact_name}:read Finds a run's artifact data.
report_run_metrics POST /apis/v1beta1/runs/{run_id}:reportMetrics ReportRunMetrics reports metrics of a run. Each metric is reported in its own transaction, so this API accepts partial failures. Metric can be uniquely identified by (run_id, node_id, name). Duplicate reporting will be ignored by the API. First reporting wins.
retry_run POST /apis/v1beta1/runs/{run_id}/retry Re-initiates a failed or terminated run.
terminate_run POST /apis/v1beta1/runs/{run_id}/terminate Terminates an active run.
unarchive_run POST /apis/v1beta1/runs/{id}:unarchive Restores an archived run.

archive_run

object archive_run(id)

Archives a run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    id = 'id_example' # str | The ID of the run to be archived.

    try:
        # Archives a run.
        api_response = api_instance.archive_run(id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->archive_run: %s\n" % e)

Parameters

Name Type Description Notes
id str The ID of the run to be archived.

Return type

object

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

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create_run

ApiRunDetail create_run(body)

Creates a new run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    body = kfp_server_api.ApiRun() # ApiRun | 

    try:
        # Creates a new run.
        api_response = api_instance.create_run(body)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->create_run: %s\n" % e)

Parameters

Name Type Description Notes
body ApiRun

Return type

ApiRunDetail

Authorization

Bearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

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delete_run

object delete_run(id)

Deletes a run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    id = 'id_example' # str | The ID of the run to be deleted.

    try:
        # Deletes a run.
        api_response = api_instance.delete_run(id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->delete_run: %s\n" % e)

Parameters

Name Type Description Notes
id str The ID of the run to be deleted.

Return type

object

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

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get_run

ApiRunDetail get_run(run_id)

Finds a specific run by ID.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    run_id = 'run_id_example' # str | The ID of the run to be retrieved.

    try:
        # Finds a specific run by ID.
        api_response = api_instance.get_run(run_id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->get_run: %s\n" % e)

Parameters

Name Type Description Notes
run_id str The ID of the run to be retrieved.

Return type

ApiRunDetail

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

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list_runs

ApiListRunsResponse list_runs(page_token=page_token, page_size=page_size, sort_by=sort_by, resource_reference_key_type=resource_reference_key_type, resource_reference_key_id=resource_reference_key_id, filter=filter)

Finds all runs.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    page_token = 'page_token_example' # str | A page token to request the next page of results. The token is acquried from the nextPageToken field of the response from the previous ListRuns call or can be omitted when fetching the first page. (optional)
page_size = 56 # int | The number of runs to be listed per page. If there are more runs than this number, the response message will contain a nextPageToken field you can use to fetch the next page. (optional)
sort_by = 'sort_by_example' # str | Can be format of \"field_name\", \"field_name asc\" or \"field_name desc\" (Example, \"name asc\" or \"id desc\"). Ascending by default. (optional)
resource_reference_key_type = 'UNKNOWN_RESOURCE_TYPE' # str | The type of the resource that referred to. (optional) (default to 'UNKNOWN_RESOURCE_TYPE')
resource_reference_key_id = 'resource_reference_key_id_example' # str | The ID of the resource that referred to. (optional)
filter = 'filter_example' # str | A url-encoded, JSON-serialized Filter protocol buffer (see [filter.proto](https://github.com/kubeflow/pipelines/blob/master/backend/api/filter.proto)). (optional)

    try:
        # Finds all runs.
        api_response = api_instance.list_runs(page_token=page_token, page_size=page_size, sort_by=sort_by, resource_reference_key_type=resource_reference_key_type, resource_reference_key_id=resource_reference_key_id, filter=filter)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->list_runs: %s\n" % e)

Parameters

Name Type Description Notes
page_token str A page token to request the next page of results. The token is acquried from the nextPageToken field of the response from the previous ListRuns call or can be omitted when fetching the first page. [optional]
page_size int The number of runs to be listed per page. If there are more runs than this number, the response message will contain a nextPageToken field you can use to fetch the next page. [optional]
sort_by str Can be format of "field_name", "field_name asc" or "field_name desc" (Example, "name asc" or "id desc"). Ascending by default. [optional]
resource_reference_key_type str The type of the resource that referred to. [optional] [default to 'UNKNOWN_RESOURCE_TYPE']
resource_reference_key_id str The ID of the resource that referred to. [optional]
filter str A url-encoded, JSON-serialized Filter protocol buffer (see filter.proto). [optional]

Return type

ApiListRunsResponse

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

read_artifact

ApiReadArtifactResponse read_artifact(run_id, node_id, artifact_name)

Finds a run's artifact data.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    run_id = 'run_id_example' # str | The ID of the run.
node_id = 'node_id_example' # str | The ID of the running node.
artifact_name = 'artifact_name_example' # str | The name of the artifact.

    try:
        # Finds a run's artifact data.
        api_response = api_instance.read_artifact(run_id, node_id, artifact_name)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->read_artifact: %s\n" % e)

Parameters

Name Type Description Notes
run_id str The ID of the run.
node_id str The ID of the running node.
artifact_name str The name of the artifact.

Return type

ApiReadArtifactResponse

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

report_run_metrics

ApiReportRunMetricsResponse report_run_metrics(run_id, body)

ReportRunMetrics reports metrics of a run. Each metric is reported in its own transaction, so this API accepts partial failures. Metric can be uniquely identified by (run_id, node_id, name). Duplicate reporting will be ignored by the API. First reporting wins.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    run_id = 'run_id_example' # str | Required. The parent run ID of the metric.
body = kfp_server_api.ApiReportRunMetricsRequest() # ApiReportRunMetricsRequest | 

    try:
        # ReportRunMetrics reports metrics of a run. Each metric is reported in its own transaction, so this API accepts partial failures. Metric can be uniquely identified by (run_id, node_id, name). Duplicate reporting will be ignored by the API. First reporting wins.
        api_response = api_instance.report_run_metrics(run_id, body)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->report_run_metrics: %s\n" % e)

Parameters

Name Type Description Notes
run_id str Required. The parent run ID of the metric.
body ApiReportRunMetricsRequest

Return type

ApiReportRunMetricsResponse

Authorization

Bearer

HTTP request headers

  • Content-Type: application/json
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

retry_run

object retry_run(run_id)

Re-initiates a failed or terminated run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    run_id = 'run_id_example' # str | The ID of the run to be retried.

    try:
        # Re-initiates a failed or terminated run.
        api_response = api_instance.retry_run(run_id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->retry_run: %s\n" % e)

Parameters

Name Type Description Notes
run_id str The ID of the run to be retried.

Return type

object

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

terminate_run

object terminate_run(run_id)

Terminates an active run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    run_id = 'run_id_example' # str | The ID of the run to be terminated.

    try:
        # Terminates an active run.
        api_response = api_instance.terminate_run(run_id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->terminate_run: %s\n" % e)

Parameters

Name Type Description Notes
run_id str The ID of the run to be terminated.

Return type

object

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]

unarchive_run

object unarchive_run(id)

Restores an archived run.

Example

  • Api Key Authentication (Bearer):
from __future__ import print_function
import time
import kfp_server_api
from kfp_server_api.rest import ApiException
from pprint import pprint
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = kfp_server_api.Configuration(
    host = "http://localhost"
)

# The client must configure the authentication and authorization parameters
# in accordance with the API server security policy.
# Examples for each auth method are provided below, use the example that
# satisfies your auth use case.

# Configure API key authorization: Bearer
configuration = kfp_server_api.Configuration(
    host = "http://localhost",
    api_key = {
        'authorization': 'YOUR_API_KEY'
    }
)
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['authorization'] = 'Bearer'

# Enter a context with an instance of the API client
with kfp_server_api.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = kfp_server_api.RunServiceApi(api_client)
    id = 'id_example' # str | The ID of the run to be restored.

    try:
        # Restores an archived run.
        api_response = api_instance.unarchive_run(id)
        pprint(api_response)
    except ApiException as e:
        print("Exception when calling RunServiceApi->unarchive_run: %s\n" % e)

Parameters

Name Type Description Notes
id str The ID of the run to be restored.

Return type

object

Authorization

Bearer

HTTP request headers

  • Content-Type: Not defined
  • Accept: application/json

HTTP response details

Status code Description Response headers
200 A successful response. -
0 -

[Back to top] [Back to API list] [Back to Model list] [Back to README]